# Principal Components of Short-term Variability in Venus' UV Albedo

## TL;DR

This study uses principal component analysis on Venus's UV albedo data from Akatsuki to identify dominant variability modes, revealing known atmospheric waves and new patterns with implications for Venus's atmospheric dynamics.

## Contribution

It applies PCA to Venus's UV albedo observations to uncover and analyze dominant variability modes, including known and novel atmospheric patterns.

## Key findings

- Identified six oscillating patterns in Venus's UV albedo.
- Observed modes correspond to known atmospheric waves like Kelvin and Rossby waves.
- Discovered a hemispheric mode with unclear origin.

## Abstract

We explore the dominant modes of variability in the observed albedo at the cloud tops of Venus using the Akatsuki UVI 283-nm and 365-nm observations, which are sensitive to SO2 and unknown UV absorber distributions respectively, over the period Dec 2016 to May 2018. The observations consist of images of the dayside of Venus, most often observed at intervals of 2 hours, but interspersed with longer gaps. The orbit of the spacecraft does not allow for continuous observation of the full dayside, and the unobserved regions cause significant gaps in the datasets. Each dataset is subdivided into three subsets for three observing periods, the unobserved data are interpolated and each subset is then subjected to a principal component analysis (PCA) to find six oscillating patterns in the albedo. Principal components in all three periods show similar morphologies at 283-nm but are much more variable at 365-nm. Some spatial patterns and the time scales of these modes correspond to well known physical processes in the atmosphere of Venus such as the ~4 day Kelvin wave, 5 day Rossby waves and the overturning circulation, while others defy a simple explanation. We also a find a hemispheric mode that is not well understood and discuss its implications.